Paleontological Data Analysis (英語) ペーパーバック – 2005/10/15
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During the last 10 years numerical methods have begun to dominate paleontology. These methods now reach far beyond the fields of morphological and phylogenetic analyses to embrace biostratigraphy, paleobiogeography, and paleoecology. Paleontological Data Analysis explains the key numerical techniques in paleontology, and the methodologies employed in the software packages now available.
- Following an introduction to numerical methodologies in paleontology, and to univariate and multivariate techniques (including inferential testing), there follow chapters on morphometrics, phylogenetic analysis, paleobiogeography and paleoecology, time series analysis, and quantitative biostratigraphy
- Each chapter describes a range of techniques in detail, with worked examples, illustrations, and appropriate case histories
- Describes the purpose, type of data required, functionality, and implementation of each technique, together with notes of caution where appropriate
- The book and the accompanying PAST software package (see www.blackwellpublishing.com/hammer) are important investigative tools in a rapidly developing field characterized by many exciting new discoveries and innovative techniques
- An invaluable tool for all students and researchers involved in quantitative paleontology
"I would definitely encourage students, later-year undergraduate or graduate, embarking on palaeontological research involving more than the most trivial statistics to buy this book, not just rely on the library copy."
Newsletter of Micropalaeontology <!--end-->
'I warmly encourage all graduate students, post-docs, and academics in palaeontology to acquire a copy - and to use it.'
"All in all this is to my mind and excellent book."
There are some minor errors, I noted a few figures were incorrectly numbered in the text.
It would be better if the authors can include more information about diversity change, life-and-death mole as well as comparative phylogenetic analysis etc.
finally, I learned a lot from this this book!
I'm sure the book has some merit, but if you've never taken a statistics course before, be prepared to find another textbook so you can follow along in this one.